Staff / Sr Staff Software Engineer - ML Platform
New
E
Equilibrium EnergyClean Energy
San Francisco or US Remote, internationally across timezonesFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- DockerPythonETLKubernetesMachine LearningPyTorchCI/CDscikit-learn
Requirements
- Commitment to clean energy and combating climate change
- Proficiency and 5+ years experience in Python software development
- Familiarity with automated build, deployment, and orchestration tools such as CI/CD, Pants, Docker, Metaflow, Argo, and Kubernetes
- Strong understanding of data pipelines, ETL, and data infrastructure
- Experience with observability tooling like Grafana, Honeycomb, and Prometheus
- Experience with common machine learning algorithms and libraries (xgboost, sklearn, pytorch, pandas, polars, pandera)
- Prior experience in operationalizing machine learning workflows
- Agility in working with cross-functional teams and adapting to new work methodologies
Responsibilities
- Abstract away the complexities behind the deployment and orchestration of a large number of forecasting workflows
- Integrate with data and compute infrastructure to optimize resource utilization and performance
- Implement automated testing and monitoring for ML models in production
- Maintain and iterate on our model registry and experiment tracking
- Co-design frameworks that support model experimentation, hyperparameter tuning, training, and deployment
- Partner with our Data Services team to incrementally improve our feature store
- Collaborate closely with data scientists to understand new model requirements
- Collaborate with the Science Platform Simulation team to incorporate forecasting into physical and portfolio asset optimizations
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